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Royal Holloway, University of London · Egham

MSc Artificial Intelligence

Master'sData Science & AI

Builds foundational knowledge and practical skills in AI and machine learning techniques for computing graduates. Prepares students for technical AI roles in industry.

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Funding informationThis university has scholarship information recorded.

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Sri Lankan student planning

Four checks before you shortlist this course.

Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.

01Academic route

Your qualification fit

Bachelor Special degree with good grades from a reputable university (most departments ask for 2:1 or 2:2 equivalent); Bachelor General degree with 2:1 or First also considered; CIMA Chartered Accountancy Diploma considered for direct entry; Pre-Masters available

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03Funding

Scholarship possibilities

Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.

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04Full financial plan

Beyond the tuition fee

Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.

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This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.

Scholarship information

Potential funding at Royal Holloway, University of London

Students living in Sri Lanka receive an automatic £4,000 tuition fee reduction on full-time self-funded masters (Sept 2027/Jan 2028 entry); the International Undergraduate Scholarship gives £3,000 off fees each year for international students achieving BBB at A-level or equivalent.

Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.

Programme overview

A clearer look at MSc Artificial Intelligence

Builds foundational knowledge and practical skills in AI and machine learning techniques for computing graduates. Prepares students for technical AI roles in industry.

This 12-month postgraduate route concentrates on machine learning and intelligent systems, data, algorithms and model evaluation, responsible ai and real-world implementation. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.

Course focus

What you can expect to explore

  • Machine learning and intelligent systems
  • Data, algorithms and model evaluation
  • Responsible AI and real-world implementation
  • Programming and computational problem-solving

Skills development

Capabilities you can build

  • Algorithmic problem-solving
  • Model development and testing
  • Programming with data
  • Responsible technology evaluation

The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.

Learning experience

How you may learn

  • Practical, laboratory, studio, simulation or supervised activities where appropriate to the discipline.
  • Independent postgraduate study, critical reading and a dissertation or major project where required.
  • Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?

A strong fit for students with a strong interest in computation who want to design, evaluate and apply intelligent systems responsibly. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.

Career direction

Where it may lead

Relevant career directions may include:

  • AI or machine-learning specialist
  • Data scientist
  • Intelligent-systems developer
  • AI solutions consultant

These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.

Course contents

Published course content for this programme.

33 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.

  1. 01
    Data AnalysisPublished course content
  2. 02
    Artificial Intelligence Principles and TechniquesPublished course content
  3. 03
    Autonomous Intelligent SystemsPublished course content
  4. 04
    Ethics in Advanced Computing and Artificial IntelligencePublished course content
  5. 05
    Individual ProjectPublished course content
  6. 06
    Principles of Computation and ProgrammingPublished course content
  7. 07
    Interconnected DevicesPublished course content
  8. 08
    Advanced Distributed Systems and Communication NetworksPublished course content
  9. 09
    Machine LearningPublished course content
  10. 10
    DatabasesPublished course content
  11. 11
    Database design: normalisation, normal forms, entities and attributesPublished course content
  12. 12
    Intelligent Agents and Multi-Agent SystemsPublished course content
  13. 13
    Online Machine LearningPublished course content
  14. 14
    Large-scale Data Storage and ProcessingPublished course content
  15. 15
    Business Intelligence Systems, Infrastructures and TechnologiesPublished course content
  16. 16
    Methods of BioinformaticsPublished course content
  17. 17
    Visualisation and Exploratory AnalysisPublished course content
  18. 18
    Methods of Computational FinancePublished course content
  19. 19
    Deep LearningPublished course content
  20. 20
    InferencePublished course content
  21. 21
    Applied ProbabilityPublished course content
  22. 22
    Security TechnologiesPublished course content
  23. 23
    Introduction to Cryptography and Security MechanismsPublished course content
  24. 24
    Network SecurityPublished course content
  25. 25
    Computer Security (Operating Systems)Published course content
  26. 26
    Applied Security ManagementPublished course content
  27. 27
    Digital ForensicsPublished course content
  28. 28
    Security TestingPublished course content
  29. 29
    Software SecurityPublished course content
  30. 30
    Cybersecurity to Critical Infrastructure SecurityPublished course content
  31. 31
    International & EU requirementsPublished course content
  32. 32
    Your future careerPublished course content
  33. 33
    Fees, funding & scholarshipsPublished course content

Source checked 19 October 2026. Titles are shown as concise factual course information; the university remains the authoritative source.

View official course contents

Entry requirements

Can I apply?

Academic
2:2 UK honours degree or equivalent in Computer Science, Computing, Software Engineering, AI or a closely related subject
Sri Lankan qualifications
Bachelor Special degree with good grades from a reputable university (most departments ask for 2:1 or 2:2 equivalent); Bachelor General degree with 2:1 or First also considered; CIMA Chartered Accountancy Diploma considered for direct entry; Pre-Masters available
English (IELTS)
6.5 overall, no subscore below 5.5

Not sure you qualify? Send us your results — we’ll tell you honestly, free.

How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to Royal Holloway, University of London.
  3. We help you meet any offer conditions and get your CAS.
  4. We guide your Student visa application.

Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.

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Course information checked October 2026 from the official course page on royalholloway.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Royal Holloway, University of London before you apply. Global Educational Consultants is an independent consultancy.